PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Author:   Sherin Thomas ,  Sudhanshu Passi
Publisher:   Packt Publishing Limited
ISBN:  

9781788834131


Pages:   250
Publication Date:   30 April 2019
Format:   Paperback
Availability:   In stock   Availability explained
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PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily


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Author:   Sherin Thomas ,  Sudhanshu Passi
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781788834131


ISBN 10:   1788834135
Pages:   250
Publication Date:   30 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Deep Learning Walkthrough and PyTorch Introduction A Simple Neural Network Deep Learning Workflow Computer Vision Sequential Data Processing Generative Networks Reinforcement Learning PyTorch to Production

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Author Information

Sherin Thomas started his career as an information security expert and shifted his focus to deep learning-based security systems. He has helped several companies across the globe to set up their AI pipelines and worked recently for CoWrks, a fast-growing start-up based out of Bengaluru. Sherin is working on several open source projects including PyTorch, RedisAI, and many more, and is leading the development of TuringNetwork.ai. Currently, he is focusing on building the deep learning infrastructure for [tensor]werk, an Orobix spin-off company. Sudhanshu Passi is a technologist employed at CoWrks. Among other things, he has been the driving force behind everything related to machine learning at CoWrks. His expertise in simplifying complex concepts makes his work an ideal read for beginners and experts alike. This can be witnessed in his many blogs and this debut book publication. In his spare time, he can be found at his local swimming pool computing gradient descent underwater.

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